flan-t5-xl
This model is a fine-tuned version of google/flan-t5-xl on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.2648
- Rouge1: 45.1318
- Rouge2: 22.2773
- Rougel: 31.9084
- Rougelsum: 42.0558
- Gen Len: 94.2332
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 96
- total_eval_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4352 | 1.0 | 2991 | 1.2645 | 43.8582 | 21.2227 | 30.7038 | 40.761 | 101.9968 |
| 1.3198 | 2.0 | 5982 | 1.2525 | 44.4594 | 21.8174 | 31.4304 | 41.4563 | 94.0733 |
| 1.2151 | 3.0 | 8973 | 1.2648 | 45.1318 | 22.2773 | 31.9084 | 42.0558 | 94.2332 |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2
- Downloads last month
- 8
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Dataset used to train bbhattar/flan_t5_xl_cnn_dailymail
Evaluation results
- Rouge1 on cnn_dailymailvalidation set self-reported45.132